Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2022-03-28 09:46:46	ga_s2bm_ard_3-2-1_55HDA_2022-03-28_final
2022-03-28 09:46:49	ga_s2bm_ard_3-2-1_55HCA_2022-03-28_final
2022-03-28 09:46:53	ga_s2bm_ard_3-2-1_55HFV_2022-03-28_final
2022-03-28 09:46:57	ga_s2bm_ard_3-2-1_55HEV_2022-03-28_final
2022-03-28 09:47:01	ga_s2bm_ard_3-2-1_55HDV_2022-03-28_final
2022-03-28 09:47:04	ga_s2bm_ard_3-2-1_55HCV_2022-03-28_final
2022-03-28 09:47:06	ga_s2bm_ard_3-2-1_55HFU_2022-03-28_final.stac-item
2022-03-28 09:47:11	ga_s2bm_ard_3-2-1_55HEU_2022-03-28_final
2022-03-28 09:47:15	ga_s2bm_ard_3-2-1_55HDU_2022-03-28_final
2022-03-28 09:47:19	ga_s2bm_ard_3-2-1_55HCU_2022-03-28_final
2022-03-28 09:47:26	ga_s2bm_ard_3-2-1_55HBU_2022-03-28_final
2022-03-28 09:47:41	ga_s2bm_ard_3-2-1_55HES_2022-03-28_final
2022-03-28 09:47:44	ga_s2bm_ard_3-2-1_55HDS_2022-03-28_final
2022-03-28 09:47:51	ga_s2bm_ard_3-2-1_55HBS_2022-03-28_final
2022-03-28 09:47:52	ga_s2bm_ard_3-2-1_54HYB_2022-03-28_final
2022-03-28 09:47:55	ga_s2bm_ard_3-2-1_55GER_2022-03-28_final
2022-03-28 09:47:59	ga_s2bm_ard_3-2-1_55GDR_2022-03-28_final
2022-03-28 09:48:02	ga_s2bm_ard_3-2-1_55GCR_2022-03-28_final
2022-03-28 09:48:06	ga_s2bm_ard_3-2-1_55GBR_2022-03-28_final
2022-03-28 09:48:06	ga_s2bm_ard_3-2-1_54GYA_2022-03-28_final
2022-03-28 09:48:08	ga_s2bm_ard_3-2-1_55GEQ_2022-03-28_final
2022-03-28 09:48:13	ga_s2bm_ard_3-2-1_55GDQ_2022-03-28_final
2022-03-28 09:48:17	ga_s2bm_ard_3-2-1_55GCQ_2022-03-28_final
2022-03-28 09:48:19	ga_s2bm_ard_3-2-1_55GEP_2022-03-28_final
2022-03-28 09:48:20	ga_s2bm_ard_3-2-1_55GBQ_2022-03-28_final.stac-item
2022-03-28 09:48:20	ga_s2bm_ard_3-2-1_54GYV_2022-03-28_final.stac-item
2022-03-28 09:48:28	ga_s2bm_ard_3-2-1_55GDP_2022-03-28_final
2022-03-28 09:48:32	ga_s2bm_ard_3-2-1_55GCP_2022-03-28_final
2022-03-28 09:48:42	ga_s2bm_ard_3-2-1_55GDN_2022-03-28_final
2022-03-28 11:20:55	ga_s2bm_ard_3-2-1_52LEL_2022-03-28_final.stac-item
2022-03-28 11:21:05	ga_s2bm_ard_3-2-1_52LEK_2022-03-28_final.stac-item
2022-03-28 11:21:21	ga_s2bm_ard_3-2-1_52LBK_2022-03-28_final
2022-03-28 11:21:22	ga_s2bm_ard_3-2-1_51LZE_2022-03-28_final
2022-03-28 11:21:29	ga_s2bm_ard_3-2-1_52LDJ_2022-03-28_final
2022-03-28 11:21:33	ga_s2bm_ard_3-2-1_52LCJ_2022-03-28_final
2022-03-28 11:21:36	ga_s2bm_ard_3-2-1_52LBJ_2022-03-28_final
2022-03-28 11:21:37	ga_s2bm_ard_3-2-1_51LZD_2022-03-28_final
2022-03-28 11:21:44	ga_s2bm_ard_3-2-1_52LDH_2022-03-28_final
2022-03-28 11:21:47	ga_s2bm_ard_3-2-1_52LCH_2022-03-28_final
2022-03-28 11:21:50	ga_s2bm_ard_3-2-1_52LBH_2022-03-28_final
2022-03-28 11:21:51	ga_s2bm_ard_3-2-1_51LZC_2022-03-28_final
2022-03-28 11:21:56	ga_s2bm_ard_3-2-1_51LYC_2022-03-28_final
2022-03-28 11:21:58	ga_s2bm_ard_3-2-1_52KDG_2022-03-28_final
2022-03-28 11:22:02	ga_s2bm_ard_3-2-1_52KCG_2022-03-28_final
2022-03-28 11:22:09	ga_s2bm_ard_3-2-1_52KDF_2022-03-28_final
2022-03-28 11:22:16	ga_s2bm_ard_3-2-1_52KCF_2022-03-28_final
2022-03-28 11:22:28	ga_s2bm_ard_3-2-1_52KCE_2022-03-28_final
2022-03-28 11:22:35	ga_s2bm_ard_3-2-1_52KCE_2022-03-28_final
2022-03-28 11:22:45	ga_s2bm_ard_3-2-1_52KCD_2022-03-28_final
2022-03-28 11:22:49	ga_s2bm_ard_3-2-1_52KBD_2022-03-28_final
2022-03-28 11:22:49	ga_s2bm_ard_3-2-1_51KZU_2022-03-28_final
2022-03-28 11:22:53	ga_s2bm_ard_3-2-1_51KYU_2022-03-28_final
2022-03-28 11:22:57	ga_s2bm_ard_3-2-1_51KXU_2022-03-28_final
2022-03-28 11:23:00	ga_s2bm_ard_3-2-1_52KCC_2022-03-28_final
2022-03-28 11:23:03	ga_s2bm_ard_3-2-1_52KBC_2022-03-28_final
2022-03-28 11:23:04	ga_s2bm_ard_3-2-1_51KZT_2022-03-28_final
2022-03-28 11:23:07	ga_s2bm_ard_3-2-1_51KYT_2022-03-28_final
2022-03-28 11:23:13	ga_s2bm_ard_3-2-1_52KCB_2022-03-28_final
2022-03-28 11:23:18	ga_s2bm_ard_3-2-1_51KZS_2022-03-28_final
2022-03-28 11:23:25	ga_s2bm_ard_3-2-1_51KXS_2022-03-28_final
2022-03-28 11:23:32	ga_s2bm_ard_3-2-1_51KZR_2022-03-28_final
2022-03-28 11:23:47	ga_s2bm_ard_3-2-1_51KZQ_2022-03-28_final
2022-03-28 11:23:59	ga_s2bm_ard_3-2-1_51KWQ_2022-03-28_final
2022-03-28 11:24:01	ga_s2bm_ard_3-2-1_51KZP_2022-03-28_final
2022-03-28 11:24:12	ga_s2bm_ard_3-2-1_51KWP_2022-03-28_final
2022-03-28 11:24:16	ga_s2bm_ard_3-2-1_51JZN_2022-03-28_final
2022-03-28 11:24:23	ga_s2bm_ard_3-2-1_51JXN_2022-03-28_final
2022-03-28 11:24:29	ga_s2bm_ard_3-2-1_51JZM_2022-03-28_final
2022-03-28 11:24:41	ga_s2bm_ard_3-2-1_52JBR_2022-03-28_final
2022-03-28 11:24:48	ga_s2bm_ard_3-2-1_51JYL_2022-03-28_final
2022-03-28 11:24:52	ga_s2bm_ard_3-2-1_51JXL_2022-03-28_final
2022-03-28 11:24:56	ga_s2bm_ard_3-2-1_51JWL_2022-03-28_final
2022-03-28 11:25:00	ga_s2bm_ard_3-2-1_51JVL_2022-03-28_final
2022-03-28 11:25:03	ga_s2bm_ard_3-2-1_51JYK_2022-03-28_final
2022-03-28 11:25:07	ga_s2bm_ard_3-2-1_51JXK_2022-03-28_final
2022-03-28 11:25:10	ga_s2bm_ard_3-2-1_51JWK_2022-03-28_final
2022-03-28 11:25:13	ga_s2bm_ard_3-2-1_51JVK_2022-03-28_final
2022-03-28 11:25:17	ga_s2bm_ard_3-2-1_51JYJ_2022-03-28_final
2022-03-28 11:25:21	ga_s2bm_ard_3-2-1_51JXJ_2022-03-28_final
2022-03-28 11:25:25	ga_s2bm_ard_3-2-1_51JWJ_2022-03-28_final
2022-03-28 11:25:28	ga_s2bm_ard_3-2-1_51JVJ_2022-03-28_final
2022-03-28 11:25:31	ga_s2bm_ard_3-2-1_51JYH_2022-03-28_final
2022-03-28 11:25:39	ga_s2bm_ard_3-2-1_51JWH_2022-03-28_final
2022-03-28 11:25:42	ga_s2bm_ard_3-2-1_51JYG_2022-03-28_final
2022-03-28 11:25:43	ga_s2bm_ard_3-2-1_51JVH_2022-03-28_final
2022-03-28 11:25:54	ga_s2bm_ard_3-2-1_51JWG_2022-03-28_final
2022-03-28 11:25:57	ga_s2bm_ard_3-2-1_51JVG_2022-03-28_final
2022-03-28 11:26:04	ga_s2bm_ard_3-2-1_51JXF_2022-03-28_final
2022-03-28 11:26:08	ga_s2bm_ard_3-2-1_51JWF_2022-03-28_final
2022-03-28 11:26:12	ga_s2bm_ard_3-2-1_51JVF_2022-03-28_final
2022-03-28 11:26:15	ga_s2bm_ard_3-2-1_51JUF_2022-03-28_final
2022-03-28 11:26:19	ga_s2bm_ard_3-2-1_51HXE_2022-03-28_final
2022-03-28 11:26:23	ga_s2bm_ard_3-2-1_51HWE_2022-03-28_final
2022-03-28 11:26:26	ga_s2bm_ard_3-2-1_51HVE_2022-03-28_final
2022-03-28 11:26:29	ga_s2bm_ard_3-2-1_51HUE_2022-03-28_final
2022-03-28 11:26:37	ga_s2bm_ard_3-2-1_51HWD_2022-03-28_final
2022-03-28 11:26:41	ga_s2bm_ard_3-2-1_51HVD_2022-03-28_final
2022-03-28 11:26:51	ga_s2bm_ard_3-2-1_51HWC_2022-03-28_final.stac-item
2022-03-28 11:26:55	ga_s2bm_ard_3-2-1_51HVC_2022-03-28_final
2022-03-28 11:27:05	ga_s2bm_ard_3-2-1_51HWB_2022-03-28_final.stac-item

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years